Transcript Slide 1

Insights from the Your Better Life Index
Romina Boarini
OECD Statistics Directorate
Exploring and exploiting quality of life complexity (QoLexity):
epistemological, methodological and statistical issues
Florence, 9-10 September 2011
BACKGROUND
OECD Work on Measuring Progress
• OECD has carried out work on Measuring Progress for nearly
10 years (GP, World Forums, etc); it remains among the key
priorities for 2011-2012
• Current political context: MP at the forefront of the
international and national statistical agenda
• OECD 50th anniversary: the OECD Better Life Initiative
OECD Better Life Initiative
How’s Life
Are we measuring the right
things?
What matters
PEOPLE’s life?
most
in
Your Better
Life Index
Better
Life
Initiative Compendium
Better policies for better lives
of well-being
indicators
The Framework
Focus
• Households and people, not just the economy
• Assessing inequalities besides average levels
• Based on outcomes, not inputs or outputs
• Includes both objective and subjective aspects of
well-being
Criteria for selecting 11 well-being
dimensions
• Consolidated approach based on :
– Conceptual work (Stiglitz-Sen-Fitoussi
recommendations, previous OECD work, other
established research on well-being)
– Examination of national and other international
initiatives
– Internal consultation within OECD
Criteria for choosing indicators
 Relevance with respect to the target concept
- face-validity
- easily understood, unambiguous interpretation
- amenable to policy changes
- possibility of disaggregation by population groups
 Quality of supporting data
-
official and well-established sources
comparable/standardized definitions
maximum country-coverage
recurrent data collection
8
Your Better Life Index
Housing
Income
Jobs
Community
An interactive tool to compare
countries according to the things that
matter to YOUR life
Education
Environment
Governance
It covers 34 countries and 11
dimensions of well-being
Health
Life satisfaction
Safety
Work-Life balance
It is a gateway to OECD work
Your Better Life Index
STRESS-TESTING YOUR
BLI
Robustness tests
• All the main assumptions behind the index have been
tested (or are being):
– Normalisation
– Imputation
– Inclusion of indicators
– Aggregation technique
– Weights
• “Designing your BLI: methodology and selected
results”, Boarini R., G. Cohen, V. Denis and N. Ruiz,
(2011, forthcoming)
Weights: theory…
Results of the index with 5000 RANDOM DRAWS on the weights
31
26
21
Q1
Rank with equal weights
16
Q3
11
6
TUR
MEX
CHL
EST
PRT
HUN
SVK
GRC
KOR
POL
ITA
CZE
ESP
SVN
ISR
JPN
FRA
BEL
DEU
IRL
AUT
GBR
ISL
LUX
NLD
FIN
CHE
USA
DNK
NOR
NZL
SWE
CAN
AUS
1
Rank robustness to weights
Estimating the probability that countries are ranked in a given way
SWE
NZL
NOR
DNK
USA
CHE
FIN
NLD
LUX
ISL
GBR
AUT
IRL
DEU
BEL
FRA
JPN
ISR
SVN
ESP
CZE
ITA
POL
KOR
GRC
SVK
HUN
PRT
EST
CHL
MEX
TUR
1
39.6% 24.8% 8.9%
AUS
CAN
3.6%
2.5%
4.4%
0.9%
1.8%
0.5%
0.0%
9.7%
1.9%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
1.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2
16.2% 23.8% 20.4% 13.5% 5.1%
3.5%
4.6%
4.4%
1.1%
0.5%
3.6%
1.7%
0.0%
0.0%
0.7%
0.0%
0.1%
0.0%
0.3%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.5%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
3
11.0% 18.5% 26.2% 15.5% 6.5%
4.4%
3.5%
4.7%
1.5%
2.0%
2.8%
1.2%
0.3%
0.0%
1.1%
0.0%
0.1%
0.0%
0.4%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
4
7.8% 12.8% 16.4% 22.8% 11.8% 7.0%
5.2%
4.5%
2.2%
3.1%
2.4%
1.8%
0.4%
0.0%
1.1%
0.0%
0.7%
0.1%
0.4%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
0.0%
0.5%
0.0%
0.0%
0.0%
5
5.7%
6.4%
8.4% 12.5% 25.1% 11.8% 6.4%
4.4%
2.4%
3.6%
3.6%
3.1%
1.3%
0.6%
1.8%
0.0%
1.5%
0.1%
0.3%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.5%
0.0%
0.0%
0.0%
6
5.6%
5.1%
5.9%
7.5% 17.4% 20.4% 7.5%
6.8%
4.7%
4.9%
3.4%
3.6%
1.2%
0.5%
2.5%
0.4%
0.9%
0.1%
0.3%
0.0%
0.0%
0.0%
0.0%
0.0%
0.4%
0.1%
0.0%
0.1%
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
7
3.3%
2.8%
4.5%
5.6% 10.7% 12.4% 9.3%
8.4%
9.7%
9.6%
5.6%
7.5%
2.2%
0.9%
3.5%
0.5%
0.8%
0.8%
0.3%
0.6%
0.0%
0.0%
0.0%
0.0%
0.5%
0.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
8
2.7%
2.0%
3.3%
4.5%
7.7%
9.5%
9.3% 11.7% 12.5% 10.8% 6.6%
7.9%
2.6%
1.0%
3.3%
1.4%
1.0%
0.3%
0.9%
0.7%
0.0%
0.2%
0.0%
0.0%
0.1%
0.1%
0.0%
0.5%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
9
2.6%
0.8%
1.8%
4.2%
3.7%
7.2%
8.7% 11.9% 13.3% 11.5% 6.7%
9.2%
4.8%
3.1%
4.5%
1.4%
1.1%
0.8%
0.2%
0.2%
0.4%
0.1%
0.0%
0.0%
0.1%
0.2%
0.0%
0.1%
0.0%
0.5%
0.0%
0.0%
0.0%
0.0%
10
1.2%
0.7%
1.3%
2.4%
3.0%
4.8%
8.6% 11.5% 13.0% 13.4% 5.5%
9.7%
7.4%
5.1%
5.4%
2.2%
1.7%
1.4%
0.4%
0.4%
0.1%
0.1%
0.0%
0.0%
0.1%
0.8%
0.0%
0.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
11
0.7%
0.6%
1.2%
1.7%
1.4%
3.7%
9.3%
7.4% 12.4% 11.3% 6.7% 10.5% 11.2% 6.6%
5.5%
1.7%
2.3%
2.3%
0.5%
0.4%
1.0%
0.3%
0.0%
0.0%
0.1%
0.8%
0.0%
0.1%
0.0%
0.1%
0.1%
0.0%
0.0%
0.0%
12
0.5%
0.6%
0.2%
1.4%
1.8%
2.0%
7.3%
5.2%
7.9%
9.5%
5.0% 12.5% 19.6% 7.9%
5.1%
3.3%
3.6%
2.5%
0.8%
0.4%
0.1%
0.9%
0.0%
0.5%
0.0%
0.5%
0.0%
0.1%
0.1%
0.0%
0.5%
0.0%
0.0%
0.0%
13
0.9%
0.2%
0.8%
0.7%
0.8%
1.8%
4.6%
4.6%
6.6%
5.8%
4.9%
7.3% 25.5% 10.7% 6.6%
5.1%
4.2%
3.7%
0.9%
0.6%
0.2%
0.9%
0.5%
0.1%
0.1%
0.3%
0.1%
0.1%
0.7%
0.0%
0.1%
0.0%
0.0%
0.0%
14
0.8%
0.9%
0.1%
0.6%
0.9%
1.3%
3.4%
2.8%
3.9%
3.8%
6.4%
5.1% 12.2% 18.4% 11.3% 11.5% 7.7%
4.0%
1.1%
0.7%
0.3%
0.9%
0.0%
0.1%
0.1%
0.6%
0.5%
0.2%
0.2%
0.0%
0.2%
0.0%
0.0%
0.0%
15
0.3%
0.0%
0.1%
0.7%
0.4%
1.1%
2.8%
2.0%
2.5%
1.9%
5.6%
4.7%
4.8% 12.8% 13.1% 17.4% 13.2% 8.8%
1.6%
1.5%
0.3%
1.1%
0.6%
0.3%
0.2%
0.5%
0.4%
0.2%
0.3%
0.0%
0.1%
0.0%
0.0%
0.4%
16
0.1%
0.0%
0.0%
0.3%
0.5%
1.2%
2.3%
2.0%
1.4%
2.3%
4.5%
3.6%
2.8%
7.2%
9.0% 20.8% 15.9% 17.4% 2.2%
1.1%
0.5%
1.5%
0.5%
0.1%
0.3%
0.5%
0.1%
0.3%
0.8%
0.1%
0.2%
0.0%
0.5%
0.0%
17
0.1%
0.0%
0.0%
0.3%
0.4%
0.5%
1.7%
1.2%
1.5%
1.9%
3.9%
2.6%
2.2%
7.6%
7.1% 16.8% 14.1% 27.0% 1.8%
1.6%
0.9%
1.4%
1.3%
0.5%
0.4%
0.9%
0.2%
0.8%
0.3%
0.1%
0.2%
0.0%
0.1%
0.0%
18
0.0%
0.0%
0.0%
0.4%
0.1%
0.7%
1.7%
1.0%
0.9%
0.6%
5.1%
2.3%
0.5%
9.9%
7.9% 11.6% 18.1% 22.6% 3.2%
3.5%
1.5%
2.2%
1.5%
1.2%
0.5%
0.8%
0.2%
0.6%
0.2%
0.1%
0.2%
0.1%
0.6%
0.0%
19
0.0%
0.0%
0.0%
0.1%
0.1%
0.6%
0.6%
0.9%
0.9%
0.4%
1.5%
1.1%
0.1%
3.1%
2.8%
3.0%
5.6%
3.2% 26.0% 17.7% 4.7% 15.1% 3.5%
2.6%
1.4%
1.2%
0.4%
1.0%
0.4%
0.6%
0.2%
0.3%
0.1%
0.0%
20
0.1%
0.0%
0.0%
0.2%
0.0%
0.8%
0.7%
0.3%
0.7%
0.5%
0.9%
0.5%
0.0%
0.8%
1.5%
1.2%
2.8%
1.3% 16.5% 19.4% 16.8% 11.2% 7.4%
7.6%
1.1%
2.5%
0.9%
0.9%
1.2%
0.5%
0.3%
0.2%
0.5%
0.0%
21
0.0%
0.0%
0.0%
0.2%
0.0%
0.6%
0.3%
0.7%
0.2%
0.3%
1.0%
0.8%
0.1%
0.6%
1.1%
0.2%
1.0%
1.3%
9.5%
8.5% 21.9% 10.6% 18.3% 10.6% 2.8%
3.3%
1.8%
1.0%
0.7%
0.8%
0.2%
0.7%
0.4%
0.1%
22
0.0%
0.0%
0.0%
0.1%
0.0%
0.1%
0.1%
0.3%
0.0%
0.2%
0.5%
0.2%
0.1%
0.4%
1.2%
0.7%
1.0%
0.5%
7.1%
9.1% 21.4% 11.1% 20.9% 10.4% 3.2%
4.0%
2.3%
1.6%
1.1%
1.1%
0.2%
0.3%
0.4%
0.0%
23
0.0%
0.0%
0.0%
0.1%
0.0%
0.0%
0.5%
0.2%
0.0%
0.3%
0.9%
0.2%
0.5%
0.2%
0.9%
0.1%
0.6%
0.5%
8.0%
7.5% 13.8% 12.2% 21.2% 14.2% 5.0%
3.6%
2.8%
2.7%
1.1%
1.4%
0.4%
0.6%
0.4%
0.0%
24
0.0%
0.0%
0.0%
0.6%
0.0%
0.0%
0.1%
0.1%
0.0%
0.3%
0.4%
0.0%
0.0%
0.4%
0.8%
0.1%
0.4%
0.2%
5.1%
6.6%
8.9%
7.4% 14.2% 25.8% 7.3%
6.4%
4.8%
4.2%
1.5%
1.5%
0.6%
0.4%
1.0%
0.1%
25
0.0%
0.0%
0.0%
0.5%
0.0%
0.0%
0.0%
0.1%
0.0%
0.4%
0.4%
0.5%
0.0%
0.5%
0.5%
0.0%
0.4%
0.5%
4.1%
4.2%
3.8%
7.3%
5.8%
9.5% 19.4% 10.5% 18.0% 6.9%
2.4%
2.2%
0.8%
0.8%
1.2%
0.1%
26
0.0%
0.0%
0.4%
0.0%
0.0%
0.0%
0.1%
0.1%
0.0%
0.1%
0.4%
0.0%
0.0%
1.1%
0.1%
0.4%
0.1%
0.0%
2.2%
3.2%
1.4%
4.1%
2.5%
7.2% 19.6% 15.3% 21.1% 8.0%
3.9%
4.0%
1.1%
1.3%
1.3%
0.0%
27
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
0.0%
0.3%
0.8%
0.0%
0.0%
0.1%
0.7%
0.0%
0.1%
0.4%
1.0%
2.9%
1.1%
2.8%
1.2%
3.6% 16.2% 19.3% 18.5% 11.8% 5.2%
6.7%
1.7%
1.9%
2.5%
0.1%
28
0.5%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.6%
0.1%
0.0%
0.0%
0.1%
0.3%
0.0%
0.1%
0.0%
0.8%
2.2%
0.4%
2.0%
0.1%
2.8%
7.5%
8.9% 13.7% 26.3% 10.8% 11.3% 2.5%
5.3%
2.6%
0.1%
29
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.4%
0.0%
0.0%
0.1%
0.2%
0.0%
0.0%
0.0%
0.5%
0.0%
0.1%
0.0%
0.7%
1.5%
0.1%
1.8%
0.1%
1.9%
5.6%
6.3%
8.0% 11.1% 27.6% 20.3% 3.5%
6.0%
3.8%
0.4%
30
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.4%
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
0.0%
0.7%
1.6%
0.0%
2.3%
0.0%
0.4%
3.8%
5.4%
4.6% 10.2% 21.3% 26.5% 8.2%
6.6%
5.2%
1.6%
31
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.4%
0.0%
0.4%
1.8%
0.0%
0.9%
0.0%
0.1%
2.2%
2.7%
1.0%
4.4%
9.3% 12.7% 37.6% 12.3% 9.3%
4.2%
32
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.4%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.7%
0.5%
0.0%
0.7%
0.0%
0.0%
1.5%
1.8%
0.2%
2.7%
6.3%
5.9% 19.8% 28.3% 25.1% 5.5%
33
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.4%
0.0%
0.2%
0.0%
0.0%
0.0%
1.5%
0.0%
1.8%
2.8%
2.7% 15.5% 26.3% 34.0% 14.2%
34
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.5%
0.0%
0.4%
0.0%
0.0%
0.0%
0.0%
0.0%
1.7%
1.4%
0.4%
4.0%
8.0% 10.3% 72.6%
….and reality
Equality on domains
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
Equality on dimensions
weights attributed by the users
REFINING YOUR BLI
No gender/country patterns visible in users
weights
But age seems to matter
An evolutionary tool
• Improved indicators as research results become
available
• Will include inequalities in achievements
between people with different characteristics
• Will include more countries, notably BRICS
Adjusting well-being achievements by deprivation
n
BLI =
wj
j=1
1
nj
nj
ii (1 − di )α
i=1
30
30
25
25
20
20
15
15
1
10
0
10
10
5
5
0
0
The index varies with the intensity of
the aversion to deprivation
0.80
Better Life Index (deprivation-adjusted score)
0.70
0.60
0.50
Czech Republic
Germany
Hungary
0.40
Iceland
Turkey
United States
0.30
0.20
0.10
α , aversion to deprivation
0.00
0
0.5
1
5
10
Conclusions
1. More work to improve the BLI
2. Move in line with the underlying
statistical agenda
3. Is weighting an issue at all?
Robustness test to imputation
Robustness test to normalisation